Maja Štula

443 total citations
39 papers, 266 citations indexed

About

Maja Štula is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Maja Štula has authored 39 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 13 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Maja Štula's work include Multi-Agent Systems and Negotiation (8 papers), Semantic Web and Ontologies (5 papers) and Cognitive Science and Mapping (5 papers). Maja Štula is often cited by papers focused on Multi-Agent Systems and Negotiation (8 papers), Semantic Web and Ontologies (5 papers) and Cognitive Science and Mapping (5 papers). Maja Štula collaborates with scholars based in Croatia, Sweden and Bosnia and Herzegovina. Maja Štula's co-authors include Darko Stipaničev, Ljiljana Šerić, Damir Krstinić, Ivica Crnković, Saša Mladenović, Jan Carlson and Slavomir Stankov and has published in prestigious journals such as IEEE Transactions on Software Engineering, Neurocomputing and Information Fusion.

In The Last Decade

Maja Štula

35 papers receiving 251 citations

Peers

Maja Štula
Maja Štula
Citations per year, relative to Maja Štula Maja Štula (= 1×) peers Pengfei Duan

Countries citing papers authored by Maja Štula

Since Specialization
Citations

This map shows the geographic impact of Maja Štula's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Maja Štula with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maja Štula more than expected).

Fields of papers citing papers by Maja Štula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maja Štula. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Maja Štula. The network helps show where Maja Štula may publish in the future.

Co-authorship network of co-authors of Maja Štula

This figure shows the co-authorship network connecting the top 25 collaborators of Maja Štula. A scholar is included among the top collaborators of Maja Štula based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Maja Štula. Maja Štula is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Krstinić, Damir, et al.. (2024). A Systematic Review of Computational Approaches to Deciphering Bronze Age Aegean and Cypriot Scripts. Computational Linguistics. 50(2). 725–779.
2.
3.
Štula, Maja, et al.. (2020). Entropy-Based Approach in Selection Exact String-Matching Algorithms. Entropy. 23(1). 31–31. 5 indexed citations
4.
Štula, Maja, et al.. (2018). Web design — Past, present and future. 1476–1481. 10 indexed citations
5.
Štula, Maja, et al.. (2015). Using TF-ISF with Local Context to Generate an Owl Document Representation for Sentence Retrieval. 5(5). 1–15. 2 indexed citations
6.
Štula, Maja, et al.. (2013). Improved sentence retrieval using local context and sentence length. Information Processing & Management. 49(6). 1301–1312. 2 indexed citations
7.
Štula, Maja, Darko Stipaničev, Ljiljana Šerić, & Damir Krstinić. (2011). Fuzzy Cognitive Map for decision support in image post-processing. International Conference on Systems, Signals and Image Processing. 1–4. 4 indexed citations
8.
Štula, Maja, Damir Krstinić, & Ljiljana Šerić. (2011). Intelligent forest fire monitoring system. Information Systems Frontiers. 14(3). 725–739. 28 indexed citations
9.
Štula, Maja, et al.. (2011). PhpModeler - an approach to Reverse Engineering legacy Web applications. 2 indexed citations
10.
Štula, Maja, et al.. (2011). Reverse engineering legacy Web applications with phpModeler. 1(2). 82–93. 1 indexed citations
11.
Štula, Maja, et al.. (2011). COUNTRY’S INTERNET SPREADING RATE MODELLING WITH FUZZY COGNITIVE MAP. International Journal of Modelling and Simulation. 31(4). 1 indexed citations
12.
Stipaničev, Darko, Maja Štula, Damir Krstinić, & Ljiljana Šerić. (2009). Agent Based Intelligent Forest Fire Monitoring System. International Convention on Information and Communication Technology, Electronics and Microelectronics. 260. 4 indexed citations
13.
Štula, Maja & Saša Mladenović. (2009). Multi-agent Highway Toll Collection System. University of Zagreb University Computing Centre (SRCE). 50. 81–91. 1 indexed citations
14.
Štula, Maja, et al.. (2008). CORAL - online monitoring in distributed applications: issues and solutions. WSEAS Transactions on Computers archive. 7(3). 113–118. 1 indexed citations
15.
Stipaničev, Darko, et al.. (2007). Environmental Intelligence Based on Advanced Sensor Networks. 209–212. 13 indexed citations
16.
Stipaničev, Darko, et al.. (2007). Environmental Intelligence based on Advanced Sesor Networks. 6 indexed citations
17.
Štula, Maja, et al.. (2007). AGENT BASED FUZZY COGNITIVE MAPS IN FIRE FIGHTING DECISION SUPPORT. 3 indexed citations
18.
Stipaničev, Darko, et al.. (2005). The Efficiency of Supplement Schema for IBVS Algorithms. 189–194. 1 indexed citations
19.
Štula, Maja & Darko Stipaničev. (2005). AGENT BASED METHODOLOGIES IN DISTRIBUTED CONTROL. 1 indexed citations
20.
Stipaničev, Darko, et al.. (2005). Multiagent Based Greenhouse Telecontrol System as a Tool for Distance Experimentation. 1691–1696. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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